Visualizing Equities with knitr Parameters

The tidyquant package provides tools and data for visualizing and analysing equities. Here is an example using data from F. Hmm….

What happened? This is fairly cool.

Code

dat <- tq_get(toString(params$ticker))
dat %>% ggplot(aes(x = date, y = close)) +
    geom_barchart(aes(open = open, high = high, low = low, close = close)) +
    labs(title = paste(params$ticker,"Bar Chart"), y = "Closing Price", x = "") +
    theme_tq()

Or functions of the data, like returns.

Code

dat %>% tq_transmute(select= adjusted,
                 mutate_fun = periodReturn,
                 period     = "daily",
                 col_rename = "Ra") %>% as_tsibble(index=date) %>% autoplot()

Adding Some Interactives

The following are a few quick interactive plots.

Code

library(tidyquant)
library(tidyverse)
library(magrittr)
# Use tidyquant to get the data
# Slice off the most recent 120 days
dat.tail <- tail(dat, 120)
dat.tail %<>% mutate(
    open = round(open, digits=2),
    close = round(close, digits=2),
    high = round(high, digits=2),
    low = round(low, digits=2),
    adjusted = round(adjusted, digits=2)
    )

Let’s have a look at the data.

Code

library(DT)
datatable(dat.tail)

The Plot

There are a few charts specifically designed for OHLC data that are included in plotly. Here I want to deploy a basic one with one modification. I want daily increases in black and daily decreases in red.

Code

library(plotly)
# basic example of ohlc charts
# custom colors
i <- list(line = list(color = '#000000')) # black
d <- list(line = list(color = '#FF0000')) # red
# Create the figure
fig.2 <- dat.tail %>%
  plot_ly(x = ~date, type="ohlc",
          open = ~open, close = ~close,
          high = ~high, low = ~low,
          increasing = i, decreasing = d)
fig.2

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